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DBMS > Milvus vs. openGauss vs. OrigoDB vs. SpatiaLite vs. XTDB

System Properties Comparison Milvus vs. openGauss vs. OrigoDB vs. SpatiaLite vs. XTDB

Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonopenGauss  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpatiaLite  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA fully ACID in-memory object graph databaseSpatial extension of SQLiteA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelVector DBMSRelational DBMSDocument store
Object oriented DBMS
Spatial DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score1.11
Rank#175  Overall
#79  Relational DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score1.56
Rank#142  Overall
#3  Spatial DBMS
Score0.13
Rank#330  Overall
#45  Document stores
Websitemilvus.iogitee.com/­opengauss
opengauss.org
origodb.comwww.gaia-gis.it/­fossil/­libspatialite/­indexgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationmilvus.io/­docs/­overview.mddocs.opengauss.org/­en
gitee.com/­opengauss/­docs
origodb.com/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlwww.xtdb.com/­docs
DeveloperHuawei and openGauss communityRobert Friberg et alAlessandro FurieriJuxt Ltd.
Initial release201920192009 infounder the name LiveDB20082019
Current release2.4.4, May 20243.0, March 20225.0.0, August 20201.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen SourceOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++, GoC, C++, JavaC#C++Clojure
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
LinuxLinux
Windows
server-lessAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateVector, Numeric and StringyesUser defined using .NET types and collectionsyesyes, extensible-data-notation format
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono infocan be achieved using .NETnono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoANSI SQL 2011noyeslimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
.NET Client API
HTTP API
LINQ
HTTP REST
JDBC
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
.NetClojure
Java
Server-side scripts infoStored proceduresnoyesyesnono
Triggersnoyesyes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)horizontal partitioning infoclient side managed; servers are not synchronizednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesdepending on modelyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlRole based access control and fine grained access rightsAccess rights for users, groups and roles according to SQL-standardRole based authorizationno
More information provided by the system vendor
MilvusopenGaussOrigoDBSpatiaLiteXTDB infoformerly named Crux
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
MilvusopenGaussOrigoDBSpatiaLiteXTDB infoformerly named Crux
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

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